Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data

BACKGROUND: Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases. Many normalization methods have been used to remove such biases within slides (Global, Lowess) and across slides (Scale, Quantile and VSN). However, all these p...

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Detalles Bibliográficos
Autores principales: Xiong, Huiling, Zhang, Dapeng, Martyniuk, Christopher J, Trudeau, Vance L, Xia, Xuhua
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275243/
https://www.ncbi.nlm.nih.gov/pubmed/18199333
http://dx.doi.org/10.1186/1471-2105-9-25

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275243/
https://www.ncbi.nlm.nih.gov/pubmed/18199333
http://dx.doi.org/10.1186/1471-2105-9-25

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